Model Explainer

Confusion Matrix

How many false positives and false negatives?

ROC AUC Plot

Trade-off between False positives and false negatives

Shap Feature Importances

Ordering features by shap value

Shap Dependence

Relationship between feature value and SHAP value

Select Random Index

Selected index: 35509

Prediction

label probability logodds
0 0.1 % -7.519
1 0.0 % -12.293
2* 99.9 % 7.511

Contributions Plot

How has each feature contributed to the prediction?